Chair of Digital Health

Imagine personalised health assistance that is omnipresent and continuously available to everyone while being intelligible – we are working to realise this vision.

Research Areas

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Vagus nerve stimulation has emerged as a promising nonpharmacological intervention for a range of medical conditions. Invasive vagus nerve stimulation via implanted stimulators is employed as a noninvasive treatment for drug-resistant epilepsy, congestive heart failure, and major depression. Noninvasive application of electrical stimulation offers advantages such as reduced infection risk and enhanced usability. We aim to investigate the mechanisms underlying non-invasive so-called transcutaneous Vagus Nerve Stimulation (tVNS) and optimize its clinical application using computational modeling.

Background Spinal Cord Stimulation (SCS) is a therapeutic approach utilized for a range of conditions, including pain and movement disorders. However, the precise mechanisms underlying the effects of SCS remain mysterious, making clinical decisions often reliant on a trial-and-error methodology....

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t...

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t...

Friedrich-Alexander-Universität Erlangen-Nürnberg